Yan Wang

According to our database, Yan Wang authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Extrapolated Urban View Synthesis Benchmark.

Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li

CoRR, 2024

Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data.

Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang

CoRR, 2024

VILA²: VILA Augmented VILA.

Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin

CoRR, 2024

DiffuBox: Refining 3D Object Detection with Point Diffusion.

Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger

CoRR, 2024

Language-Image Models with 3D Understanding.

Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone

CoRR, 2024

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.

Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving.

Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, Marco Pavone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.

Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars.

Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fixed Neural Network Steganography: Train the images, not the network.

Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger

Proceedings of the Tenth International Conference on Learning Representations, 2022

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.

Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Pseudo-LiDAR: Camera-based 3D object detection for autonomous driving.

Yan Wang

PhD thesis, 2021

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.

Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

CoRR, 2021

PLUME: Efficient 3D Object Detection from Stereo Images.

Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun

CoRR, 2021

PLUMENet: Efficient 3D Object Detection from Stereo Images.

Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.

Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction.

Junan Chen, Yan Wang, Ruihan Wu, Mark Campbell

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.

Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim

CoRR, 2020

Wasserstein Distances for Stereo Disparity Estimation.

Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.

Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the 8th International Conference on Learning Representations, 2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.

Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.

Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.

Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell

IEEE Robotics Autom. Lett., 2019

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten

CoRR, 2019

Anytime Stereo Image Depth Estimation on Mobile Devices.

Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the International Conference on Robotics and Automation, 2019

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.

Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Vision-only 3D Tracking for Self-Driving Cars.

Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Mark E. Campbell

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking.

Brian H. Wang, Yan Wang, Kilian Q. Weinberger, Mark Campbell

CoRR, 2018

Resource Aware Person Re-Identification Across Multiple Resolutions.

Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018